The effect of psychosocial interventions for sexual health in patients with pelvic cancer: a systematic review and meta-analysis.

AIM: The aim of this systematic review and meta-analysis was to explore and evaluate the effect of psychosocial interventions in improving sexual health outcomes among post-treatment patients with pelvic cancer. METHODS: Inclusion and exclusion criteria were pelvic cancer survivors; psychosocial interventions; studies with a control group and measures of sexual health. Five databases were searched for literature along with an inspection of the included studies' reference lists to extend the search. Risk of bias was assessed with the RoB2 tool. Standardised mean difference (SMD) with a random effects model was used to determine the effect size of psychosocial interventions for sexual health in patients with pelvic cancers. RESULTS: Thirteen studies were included, with a total number of 1,541 participants. There was a large heterogeneity regarding the type of psychosocial intervention used with the source found in a leave one out analysis. Six studies showed statistically significant improvements in sexual health, while three showed positive but non-significant effects. The summary effect size estimate was small SMD = 0.24 (95% confidence interval [CI]: 0.05 to 0.42, p = 0.01). DISCUSSION: There is limited research on psychosocial interventions for sexual health in pelvic cancer patients. There are also limitations in the different pelvic cancer diagnoses examined. Commonly, the included articles examined physical function rather than the whole sexual health spectrum. The small effect sizes may in part be due to evaluation of psychosocial interventions by measuring physical dysfunction. Future research should broaden sexual health assessment tools and expand investigations to more cancer types.

Quality of life among patients with restless legs syndrome: A systematic review and meta-analysis.

OBJECTIVE: The primary aim was to estimate the pooled mean score of quality of life (QoL) (total, mental and physical health components) among patients with Restless Legs Syndrome (RLS). Secondary aims were to assess: (I) QoL differences for RLS vs. control groups, (II) heterogeneity and possible sources; and (III) moderating variables. METHODS: Studies identified in PubMed, Scopus, Web of Science, and ProQuest between January 2000 and December 2022 were included. Methodological quality was assessed with Newcastle Ottawa Scale. The protocol was pre-registered (PROSPERO, CRD42023387318). RESULTS: Twenty-seven studies (20121 participants, 12 countries) were included. The corrected pooled estimated mean score of QoL was 47.92 (27 studies, CI 95 %: 43.11 to 52.72, range 0-100, i.e., low-high QoL) and was marginally affected by publication year (increased 0.89 by each year, p = 0.12). The corrected pooled estimated mean score of the mental health component was 47.32 (17 studies, 95 % CI: 43.12 to 51.51, range 0-100) and influenced by RLS instrument (decreased with recent versions, p = 0.05). The corrected pooled estimated mean score of the physical health component was 39.08 (17 studies, 95 % CI: 33.05 to 45.10, range 0-100), with no statistically significant moderator. The pooled estimated QoL scores were statistically significantly lower in RLS patients compared to control groups with standardized mean difference (SMD) of -0.78, -0.57 and -0.50 respectively for overall QoL (24 studies), physical and mental health components (14 studies). Total QoL SMD was affected by proportion of women. CONCLUSION: Low QoL was revealed among RLS patients, which was statistically significantly reduced compared to control groups.

[CBT administered via the internet]. / Internetförmedlad psykologisk egenvård.

Cognitive behavioral therapy (CBT) can be administered clinically to individuals and in group settings. More recently, CBT has been administered successfully via the internet (ICBT). We provide a concept aiming at further developing ICBT in a self-care format. We use recent development in user interface (UI) design in order to optimize the user interface and allow easy and flexible use via smartphone, tablet, or computer. Preliminary evidence indicates that an optimized user interface and adjusted information facilitate increased use of training programs compared to a traditional ICBT interface. Our aims are to allow increased availability of evidence-based CBT tools for self-care to improve people's health and recovery from disease. So far, evidence for effects and safe use is indicated for atopic dermatitis, insomnia and high-risk use of alcohol.

Internet-Based Cognitive Behavioral Therapy for Children and Adolescents With Dental or Injection Phobia: Randomized Controlled Trial.

BACKGROUND: Dental phobia (DP) and injection phobia (IP) are common in children and adolescents and are considered some of the biggest obstacles to successful treatment in pediatric dentistry. Cognitive behavioral therapy (CBT) is an evidence-based treatment for anxiety and phobias. As the availability of CBT in dentistry is low, internet-based CBT (ICBT) was developed. Open trials have shown that ICBT is a promising intervention, but randomized trials are lacking. OBJECTIVE: This randomized controlled trial tests whether therapist-guided ICBT supported by a parent could reduce fear, allowing children and adolescents with DP or IP to receive dental treatment. METHODS: We enrolled 33 participants (mean age 11.2, SD 1.9 y) whom a clinical psychologist had diagnosed with DP, IP, or both. After inclusion, participants were randomized to either ICBT (17/33, 52%) or a control group of children on a waitlist (16/33, 48%). ICBT was based on exposure therapy and comprised a 12-week at-home program combined with visits to their regular dental clinic. Participants corresponded weekly with their therapist after completing each module, and 1 parent was designated as a coach to support the child in the assignments during treatment. All participants completed measurements of the outcome variables before treatment start and after 12 weeks (at treatment completion). The measurements included a structured diagnostic interview with a clinical psychologist. Our primary outcome measure was the Picture-Guided Behavioral Avoidance Test (PG-BAT), which assesses the ability to approach 17 dental clinical procedures, and a positive clinical diagnosis. Secondary outcome measures included self-report questionnaires that measured self-efficacy and levels of dental and injection anxiety. The children and their parents completed the questionnaires. RESULTS: All participants underwent the 12-week follow-up. After treatment, 41% (7/17) of the participants in the ICBT group no longer met the diagnostic criteria for DP or IP, whereas all participants in the control group did (P=.004). Repeated-measure ANOVAs showed that ICBT led to greater improvements on the PG-BAT compared with the control group; between-group effect sizes for the Cohen d were 1.6 (P<.001) for the child-rated PG-BAT and 1.0 (P=.009) for the parent-rated PG-BAT. Reductions in our secondary outcomes-dental fear and anxiety (P<.001), negative cognitions (P=.001), and injection fear (P=.011)-as well as improvements in self-efficacy (P<.001), were all significantly greater among children in the ICBT group than in the controls. No participants reported adverse events. CONCLUSIONS: ICBT seems to be an effective treatment for DP and IP in children and adolescents. It reduced fear and anxiety and enabled participants to willingly receive dental treatment. ICBT should be seriously considered in clinical practice to increase accessibility; this therapy may reduce the need for sedation and restraint and lead to better dental health in children and adolescents. TRIAL REGISTRATION: ClinicalTrials.gov NCT02588079; https://clinicaltrials.gov/study/NCT02588079.

Psychological Treatment of Comorbid Insomnia and Depression: A Double-Blind Randomized Placebo-Controlled Trial.

INTRODUCTION: Insomnia and depression are highly prevalent disorders and commonly occur together. Cognitive behavioral therapy for insomnia, CBT-I, has been shown to be effective in treating insomnia and also comorbid depression. However, it is unclear whether effects of CBT-I on depression are specific or nonspecific. Also, depressive symptoms often remain too high after CBT-I, indicating a need for improved treatments. The objective was to determine whether combining CBT-I with CBT for depression, without increasing treatment length, reduces both insomnia and depression more than CBT for depression with a placebo insomnia intervention. METHODS: A 12-week double-blind randomized controlled trial with a 6-month follow-up in a psychiatric setting using therapist-guided internet-delivered treatments was conducted. Patients (N = 126) were diagnosed with insomnia disorder and major depression by physicians. Primary outcome measures were as follows: self-rating scales Insomnia Severity Index (ISI) and Montgomery-Åsberg Depression Rating Scale (MADRS-S). RESULTS: The combined treatment showed specific effects on insomnia severity over the control treatment (p = 0.007) but was not more effective in reducing depression severity. Within-group effects (Cohen's d) at post and at 6 months were as follows: ISI 1.40 and 1.42 (combined treatment), 0.95 and 1.00 (control); MADRS-S 0.97 and 1.12 (combined), 0.88 and 0.89 (control). CONCLUSIONS: CBT-I shows large specific effects on insomnia severity and is superior to control in this regard. Both treatments had similar effects on depression severity, i.e., combining CBT-I with CBT for depression did not enhance outcomes on depression compared to control. We suggest CBT-I should always be offered to patients with insomnia and depression comorbidity, possibly as the first-hand choice. Combining it with a psychological treatment for depression could be too burdening and may not be beneficial.

The influence of organizational models on the implementation of internet-based cognitive behavior therapy in primary care: A mixed methods study using the RE-AIM framework.

Background: Internet-Based Cognitive Behavioral Therapy (iCBT) holds great potential in addressing mental health issues, yet its real-world implementation poses significant challenges. While prior research has predominantly focused on centralized care models, this study explores the implementation of iCBT in the context of decentralized organizational structures within the Swedish primary care setting, where all interventions traditionally are delivered at local Primary Care Centers (PCCs). Aim: This study aims to enhance our understanding of iCBT implementation in primary care and assess the impact of organizational models on the implementation's outcome using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Method: A mixed-methods research design was employed to identify the factors influencing iCBT implementation across different levels, involving patients, therapists and managers. Data spanning two years was collected and analyzed through thematic analysis and statistical tests. The study encompassed 104 primary care centers, with patient data (n = 1979) sourced from the Swedish National Quality Register for Internet-Based Psychological Treatment (SibeR). Additionally, 53 iCBT therapists and 50 PCC managers completed the Normalization Measure Development Questionnaire, and 15 leaders participated in interviews. Results: Our investigation identified two implementation approaches, one concentrated and one decentralized. Implementation effectiveness was evident through adherence rates suggesting that iCBT is a promising approach for treating mental ill-health in primary care, although challenges were observed concerning patient assessment and therapist drift towards unstructured treatment. Mandatory implementation, along with managerial and organizational support, positively impacted adoption. Results vary in terms of adherence to established protocols, with therapists working in concentrated model showing a significantly higher percentage of registration in the quality register SibeR (X2 (1, N = 2973) = 430.5774, p = 0.001). They also showed significantly higher means in cognitive participation (Z = -2.179, p = 0.029) and in reflective monitoring (Z = -2.548, p = 0.011). Discussion: Overall, the study results demonstrate that iCBT, as a complex and qualitatively different intervention from traditional psychological treatment, can be widely implemented in primary care settings. The study's key finding highlights the substantial advantages of the concentrated organizational model. This model has strengths in sustainability, encourages reflective monitoring among therapists, the use of quality registers, and enforces established protocols. Conclusion: In conclusion, this study significantly contributes to the understanding of the practical aspects associated with the implementation of complex internet interventions, particularly in the context of internet-based cognitive-behavioral therapy (iCBT). The study highlights that effective iCBT integration into primary care requires a multifaceted approach, taking into account organizational models, robust support structures, and a commitment to maintaining quality standards. By emphasizing these factors, our research aims to provide actionable insights that can enhance the practicability and real-world applicability of implementing iCBT in primary care settings.

Association between expectations and clinical outcomes in online v. face-to-face therapy - an individual participant data meta-analysis.

BACKGROUND: Online treatments are increasing in number and are currently available for a wide range of clinical problems. To date little is known about the role of treatment expectations and other placebo-like mechanisms in online settings compared to traditional face-to-face treatment. To address this knowledge gap, we analyzed individual participant data from randomized clinical trials that compared online and face-to-face psychological interventions. METHODS: MEDLINE (Ovid) and PsycINFO (Ovid) were last searched on 2 February 2021. Randomized clinical trials of therapist guided online v. face-to-face psychological interventions for psychiatric or somatic conditions using a randomized controlled design were included. Titles, abstracts, and full texts of studies were independently screened by multiple observers. The Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed. Authors of the matching trials were contacted for individual participant data. Ratings from the Credibility and Expectancy Questionnaire and the primary outcome measure from each trial were used to estimate the association between expectation ratings and treatment outcomes in online v. face-to-face interventions, using a mixed-effects model. RESULTS: Of 7045 screened studies, 62 full-text articles were retrieved whereof six studies fulfilled the criteria and provided individual participant data (n = 491). Overall, CEQ ratings predicted clinical outcomes (ß = 0.27) at end of treatment with no moderating effect of treatment modality (online v. face-to-face). CONCLUSIONS: Online treatment appears to be equally susceptible to expectancy effects as face-to-face therapy. This furthers our understanding of the importance of placebo-like factors in online treatment and may aid the improvement of healthcare in online settings.

Primary Care Behavioral Health in Sweden - a protocol of a cluster randomized trial evaluating outcomes related to implementation, organization, and patients (KAIROS).

BACKGROUND: Providing comprehensive and continuous care for patients whose conditions have mental or behavioral components is a central challenge in primary care and an important part of improving universal health coverage. There is a great need for high and routine availability of psychological interventions, but traditional methods for delivering psychotherapy often result in low reach and long wait times. Primary Care Behavioral Health (PCBH) is a method for organizing primary care in which behavioral health staff provide brief, flexible interventions to a large part of the population in active collaboration with other providers. While PCBH holds promise in addressing important challenges, it has not yet been thoroughly evaluated. METHODS: This cluster randomized trial will assess 17 primary care centers (PCCs) that are starting a PCBH implementation process. The PCCs will be divided into two groups, with one starting immediate implementation and the other acting as a control, implementing six months later. The purpose of the study is to strengthen the evidence base for PCBH regarding implementation-, organization-, and patient-level outcomes, taking into consideration that there is a partially dependent relationship between the three levels. Patient outcomes (such as increased daily functioning and reduction of symptoms) may be dependent on organizational changes (such as availability of treatment, waiting times and interprofessional teamwork), which in turn requires change in implementation outcomes (most notably, model fidelity). In addition to the main analysis, five secondary analyses will compare groups based on different combinations of randomization and time periods, specifically before and after each center achieves sufficient PCBH fidelity. DISCUSSION: A randomized comparison of PCBH and traditional primary care has, to our knowledge, not been made before. While the naturalistic setting and the intricacies of implementation pose certain challenges, we have designed this study in an effort to evaluate the causal effects of PCBH despite these complex aspects. The results of this project will be helpful in guiding decisions on how to organize the delivery of behavioral interventions and psychological treatment within the context of primary care in Sweden and elsewhere. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05335382. Retrospectively registered on March 13th, 2022.

Increasing the accessibility to internet-based cognitive behavioural therapy for depression: A single-blind randomized controlled trial of condensed versus full-text versions.

Background: Research shows that internet-based cognitive behavioural therapy (iCBT) is an effective treatment for depression. However, little is known about how the length of the text material in iCBT affects outcomes. Objective: The aim of this study was to test whether a condensed iCBT version for depression would be non-inferior to the existing full-text version in reducing depressive symptoms at post-treatment. We also wanted to test non-inferiority for secondary outcomes and explore reading speed and ADHD symptoms as potential moderators. Method: A single-blind randomized controlled trial was conducted (N = 267) comparing two versions of guided iCBT for depression; full-text (around 60,000 words) and condensed (around 30,000 words, with the option to listen to the text). Estimated between-group effect sizes and their confidence intervals for depression, anxiety and quality of life, were compared to a pre-determined non-inferiority margin (ES = 0.4). Moderation analyses of reading speed and ADHD symptoms were conducted. Results: The condensed version of iCBT was non-inferior to the full-text version on post-treatment measures for depressive symptoms (95 % CI = -0.42-0.24), anxiety symptoms (95 % CI = -0.24-0.32), and quality of life (95 % CI = -0.09-0.49). Non-inferiority was inconclusive for depressive symptoms at the one-year follow-up (95 % CI = -0.60-0.47). There was no significant moderation effects of reading speed (p = 0.06) or ADHD symptoms (p = 0.11) on depressive symptoms. Conclusion: These results indicate that a condensed version of iCBT for depression is as effective at treating depression as the full-text version. By shortening texts, iCBT may be made available to more people. Due to unequal dropout rates between the groups, these results are preliminary and need to be replicated.

The Polysomnographical Meaning of Changed Sleep Quality-A Study of Treatment with Reduced Time in Bed.

BACKGROUND: Reports of poor sleep are widespread, but their link with objective sleep (polysomnography-PSG) is weak in cross-sectional studies. In contrast, the purpose of this study was to investigate the association between changes in subjective and objective sleep variables using data from a study of the reduction in time in bed (TIB). METHODS: One sleep recording was carried out at baseline and one at treatment week 5 (end of treatment) (N = 34). RESULTS: The Karolinska Sleep Quality Index improved and was correlated with improvement in sleep efficiency (r = 0.41, p < 0.05) and reduction in TIB (r = -0.47, p < 0.01) and sleep latency (r = 0.36, p < 0.05). The restorative sleep index showed similar results. Improvements in the insomnia severity index (ISI) essentially lacked correlations with changes in the PSG variables. It was suggested that the latter may be due to the ISI representing a week of subjective sleep experience, of which a single PSG night may not be representative. CONCLUSIONS: It was concluded that changes in the subjective ratings of sleep are relatively well associated with changes in the PSG-based sleep continuity variables when both describe the same sleep.

Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH).

PURPOSE: Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data. PARTICIPANTS: MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029. FINDINGS TO DATE: Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase. FUTURE PLANS: The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.

Internet delivered cognitive behavioral therapy for adults with ADHD - A randomized controlled trial.

Evidence-based psychological interventions for adults with attention deficit hyperactivity disorder (ADHD) are seldom available in clinical settings. Medication is often offered as the sole treatment, with non-optimal effects for a majority of patients. The objective was to compare internet-based cognitive behavioral therapy (iCBT) to an active control treatment of internet-based applied relaxation training (iART), and to treatment as usual only (TAU) in adult outpatients with ADHD. One hundred and four patients, of which 67 % used ADHD medication, were randomized to 12 weeks of iCBT (n = 36), iART (n = 37), or TAU (n = 31). Primary outcome was change in the Adult ADHD Self Report Scale (ASRS) up to 3 (FU3) and 12 months (FU12) after treatment. ASRS improved more for iCBT (p < .01; Cohen's d = 0.42 at post-treatment and 0.67 at FU3) and iART (p < .01; Cohen's d = 0.57 at post-treatment and 0.66 at FU3) than for TAU. The effects sustained over 12 months for iCBT (p < .001) and iART (p < .001). No significant difference was found when comparing iCBT to iART (p = .53). Treatment responders reached 25 % for both treatments, which was superior to the 3 % responders in TAU (p < .05). iCBT and iART could both be promising add-ons to medication and increase availability to psychological treatment with sustained symptom reductions after one year.

High- versus low-intensity internet interventions for alcohol use disorders (AUD): A two-year follow-up of a single-blind randomized controlled trial.

Alcohol Use Disorders (AUD) are widespread and have serious consequences, but are among the most undertreated mental disorders. Internet interventions have been found effective in treating AUD, but we know little about long-term outcomes, two years or more after treatment. This study explored 12- and 24-month outcomes in alcohol consumption following initial 6-month improvements after a therapist-guided high-intensity internet intervention and an unguided low-intensity internet intervention among individuals with alcohol use disorder. Between-group comparisons were analyzed, as well as within-group comparisons with (1) pre-treatment measurements (2) post-treatment measurements. Participants consisted of a general population sample of internet help-seekers in Sweden. A total of 143 adults (47% men) with a score of 14 (women)/16 (men) or more on the Alcohol Use Disorders Identification Test, alcohol consumption of 11 (women)/14 (men) or more standard drinks the preceding week and ≥ 2 DSM-5 alcohol use disorder (AUD) criteria based on a diagnostic interview were included. The high- and low-intensity internet interventions (n = 72 and n = 71 respectively) consisted of modules based on relapse prevention and cognitive-behavioral therapy. The primary outcome was self-reported alcohol consumption in the preceding week measured as (1) number of standard drinks and (2) number of heavy drinking days. Attrition from self-reported questionnaires was 36% at the 12-month follow-up and 53% at the 24-month follow-up. No significant between-group differences occurred in outcomes at either long-term follow-up. Regarding within-group differences, compared to pre-treatment, alcohol consumption was lower in both high- and low-intensity interventions at both long-term follow-ups [within-group standard drinks effect sizes varied between g = 0.38-1.04 and heavy drinking days effect sizes varied between g = 0.65-0.94]. Compared to post-treatment, within-group alcohol consumption in the high intensity intervention increased at both follow-ups; for the low-intensity intervention, within-group consumption decreased at 12-month follow-up, but did not differ compared to post-treatment at 24 months. Both high- and low-intensity internet interventions for AUD were thus associated with overall reductions in alcohol consumption at long term follow-ups, with no significant differences between the two. However, conclusions are hampered by differential and non-differential attrition.

A comparison of sleep restriction and sleep compression on objective measures of sleep: A sub-sample from a large randomised controlled trial.

Sleep restriction therapy is a central component of cognitive behavioural therapy for insomnia, but can lead to excessive sleepiness, which may impede treatment adherence. Sleep compression therapy has been suggested as a possibly gentler alternative. The aim of this study was to compare the effects of sleep restriction therapy and sleep compression therapy on objective measures of sleep, with a focus on magnitude and timing of effects. From a larger study of participants with insomnia, a sub-sample of 36 underwent polysomnographic recordings, before being randomised to either sleep restriction (n = 19) or sleep compression (n = 17) and receiving online treatment for 10 weeks. Assessments with polysomnography were also carried out after 2, 5, and 10 weeks of treatment. Data were analysed with multilevel linear mixed effect modelling. As per treatment instructions, participants in sleep restriction initially spent shorter time in bed compared with sleep compression. Participants in sleep restriction also showed an initial decrease of total sleep time, which was not seen in the sleep compression group. Both treatments led to improvements in sleep continuity variables, with a tendency for the improvements to come earlier during treatment in sleep restriction. No substantial differences were found between the two treatments 10 weeks after the treatment start. The results indicate that homeostatic sleep pressure may not be as important as a mechanism in sleep compression therapy as in sleep restriction therapy, and an investigation of other mechanisms is needed. In conclusion, the treatments led to similar changes in objective sleep at a somewhat different pace, and possibly through different mechanisms.

What Predicts Treatment Adherence and Low-Risk Drinking? An Exploratory Study of Internet Interventions for Alcohol Use Disorders.

INTRODUCTION: Internet interventions for alcohol problems are effective, but not all participants are helped. Further, the importance of adherence has often been neglected in research on internet interventions for alcohol problems. Prediction analysis can help in prospectively assessing participants' probability of success, and ideally, this information could be used to tailor internet interventions to individual needs. METHODS: Data were obtained from a randomized controlled trial on internet interventions for alcohol use disorders. Twenty-nine candidate predictors were run in univariate logistic regressions with two dichotomous dependent outcomes: adherence (defined as completing at least 60% of the treatment modules) and low-risk drinking (defined as drinking within national public health guidelines) at two time points - immediately post-treatment and at the 6-month follow-up. Significant predictors were entered hierarchically into domain-specific logistic regressions. In the final models, predictors still showing significant effects were run in multiple logistic regressions. RESULTS: One predictor significantly predicted adherence: treatment credibility (as in how logical the treatment is and how successful one perceives the treatment to be) assessed during the third week of the intervention. Four predictors significantly predicted low-risk drinking at the post-treatment follow-up: pre-treatment abstinence (i.e., not drinking during the 7 days before treatment started), being of the male gender, and two personality factors - a low degree of antagonism and a high degree of alexithymia. At the 6-month follow-up, pre-treatment abstinence was the only significant predictor. CONCLUSION: Adherence was not predictive of low-risk drinking. Personality variables may have predictive value and should be studied further. Those who abstain from alcohol during the week before treatment starts have a higher likelihood of achieving low-risk drinking than people who initially continue drinking.

Treatment feasibility of a digital tool for brief self-help behavioural therapy for insomnia (FastAsleep).

Cognitive behavioural therapy for insomnia is efficacious and recommended for insomnia, but availability is scarce. Cognitive behavioural therapy for insomnia self-help interventions could increase availability, especially if unguided. Optimizing cognitive behavioural therapy for insomnia methods and system user-friendliness, we developed a short, digital, self-help programme-FastAsleep-based on the behavioural components of sleep restriction and stimulus control. This study investigated its feasibility and preliminary effects. Thirty media-recruited participants with moderate to severe insomnia were assessed via telephone before using FastAsleep for 4 weeks, and were interviewed afterwards. Self-ratings with web questionnaires were conducted at screening, pre-, mid- and post-treatment, and at 3-month follow-up. Primary outcomes were feasibility (credibility, adherence, system user-friendliness and adverse effects), and secondary outcomes were changes in symptom severity (insomnia, depression and anxiety). Adherence was generally high, participants' feasibility ratings were favourable, and adverse effects matched previously reported levels for cognitive behavioural therapy for insomnia. Symptoms of insomnia decreased after the treatment period (Hedge's g = 1.79, 95% confidence interval = 1.20-2.39), as did symptoms of depression and anxiety. FastAsleep can be considered feasible and promising for alleviating insomnia symptoms among patients fit for self-care. Future controlled trials are needed to establish the efficacy of FastAsleep and its suitability in a stepped care model.

Effects of internet-delivered cognitive behavioral therapy on use of child sexual abuse material: A randomized placebo-controlled trial on the Darknet.

Introduction: The use of child sexual abuse material (CSAM) is an international public health and child protection challenge. Objective: To investigate whether Prevent It, a therapist-supported, internet-delivered, eight-week, cognitive behavioral therapy, reduces CSAM viewing among users. Methods: We conducted a global online single-blind (participants), parallel-group, superiority, randomized, psychological placebo-controlled trial with a one-month follow-up, 2019-2021 (ISRCTN76841676). We recruited anonymous participants, mainly from Darknet forums. Inclusion criteria: age 18+ years, past week CSAM use, and sufficient English language skills; exclusion criteria: severe psychiatric illness or non-serious intent to participate. The main outcome was change in self-reported, weekly viewing time from pre- to post-treatment, according to the Sexual Child Molestation Risk Assessment+. Results: A total of 160 participants (157 male, 2 non-binary, and 1 not reporting gender) from all world regions (age intervals [%]: 18-29 [49]; 30-39 [30]; 40-49 [15]; 50-59 [6]) were randomized (1:1) to Prevent It (N = 80) or Placebo (N = 80). Between-group, intention-to-treat analyses suggested a significantly larger decrease in viewing time in Prevent It participants vs. controls pre- to post-treatment (Prevent It: N = 76, Placebo: N = 78, estimate -0.25, 95 % CI, -0.46 to -0.04, p = .017, Cohen's d 0.18). Negative side effects from treatment were fewer in Prevent It compared to control participants and neither group reported severe adverse events. Conclusion: We provide initial support for the feasibility, efficacy, and safety of Prevent It to reduce CSAM viewing among motivated users. Further research is needed to validate these findings.

Feasibility and preliminary evaluation of internet-based compassion and cognitive-behavioral stress-management courses for health care professionals: A randomized controlled pilot trial.

Health care professionals (HCPs) are exposed to excessive demands in their work environment. In Sweden, work-related stress is one of the most common reasons for sick leaves. Finding cost-effective and easily accessible interventions for HCPs is crucial to counteract stress-related problems and reduce the number of sick leaves. The study aimed to evaluate the feasibility of two internet-based stress management courses and their preliminary effectiveness to reduce HCPs' stress of conscience and work-related stress, and act as a pilot for a larger randomized controlled trial (RCT). Thirty-two HCPs registered for the courses and were randomized to either an internet-based compassion course, ICOP (n = 18), or an internet-based cognitive-behavioral course, ICB (n = 14). Participants completed measures pre- (i.e., baseline, n = 32), post-intervention (at five weeks, n = 21), and at follow-up at 10 weeks (n = 17), 15 weeks (n = 13), and six months (n = 12). The study used the following scales: Stress of Conscience Questionnaires, Copenhagen Psychosocial Questionnaire, Self-Compassion Scale, and Professional Quality of Life Scale. Adherence of HCPs (n = 21) was measured using the number of logins, messages between course leaders and HCPs, and completed modules. Twelve interviews were conducted to explore participants' perceptions of the accessibility of the courses. Participants reported overall satisfaction with both the ICOP and ICB courses, stating that the courses contributed to new knowledge, individual insight, and behavior change. Both courses showed similar patterns of adherence. Quantitative analyses on pre-and post-intervention data (n = 21) showed that stress of conscience and secondary traumatic stress decreased, and self-compassion increased following ICOP. Following ICB, HCPs reported decreased burnout symptoms (according to one of two questionnaires) and increased compassion satisfaction. Both courses seemed feasible, showed promising results, and could be further evaluated in a larger study with a similar design.

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data.

This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18-75 years) diagnosed with mild-to-moderate MDD and treated with guided Internet-based Cognitive Behaviour Therapy (ICBT) at the Internet Psychiatry Clinic in Stockholm were included (2008-2016). Predictor types were demographic, clinical, process (e.g., time to complete online questionnaires), and genetic (polygenic risk scores). Outcome was remission status post ICBT (cut-off ≤10 on MADRS-S). Data were split into train (60%) and validation (40%) given ICBT start date. Predictor selection employed human expertise followed by recursive feature elimination. Model derivation was internally validated through cross-validation. The final random forest model was externally validated against a (i) null, (ii) logit, (iii) XGBoost, and (iv) blended meta-ensemble model on the hold-out validation set. Feature selection retained 45 predictors representing all four predictor types. With unseen validation data, the final random forest model proved reasonably accurate at classifying post ICBT remission (Accuracy 0.656 [0.604, 0.705], P vs null model = 0.004; AUC 0.687 [0.631, 0.743]), slightly better vs logit (bootstrap D = 1.730, P = 0.084) but not vs XGBoost (D = 0.463, P = 0.643). Transparency analysis showed model usage of all predictor types at both the group and individual patient level. A new, multi-modal classifier for predicting MDD remission status after ICBT treatment in routine psychiatric care was derived and empirically validated. The multi-modal approach to predicting remission may inform tailored treatment, and deserves further investigation to attain clinical usefulness.